• Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas, strategic questions, and emerging concepts into production-ready AI agents and workflows with minimal oversight. • Independently take ideas from concept to production, shaping problem statements, designing system architecture, implementing code, validating outputs, and operationalizing solutions without requiring heavy product or engineering management. • Design and implement complex, multi-step agentic workflows, including multi-agent orchestration, retrieval-augmented generation (RAG), tool use, memory strategies, evaluation frameworks, and cross-system automation. • Develop production-grade AI systems using modern LLMs, orchestration frameworks, and internal tooling, with strong attention to scalability, performance, observability, and clean engineering practices. • Operationalize AI responsibly by implementing guardrails, structured evaluations, monitoring, and validation layers to ensure predictable behavior, reliability, and compliance. • Partner closely with Security and Legal to properly gate sensitive use cases, implementing access controls, audit logging, data minimization, and enterprise-grade governance patterns while balancing safety and speed. • Translate ambiguous, high-visibility problems into clear technical solutions, balancing speed, quality, and risk while maintaining a high bar for accuracy and trust. • Evaluate, select, and rationalize AI tools and platforms, contributing to capability-to-tool decisions and ensuring consolidation, security alignment, and long-term sustainability across the enterprise. • Support post-launch adoption and iteration, incorporating feedback, refining workflows, and continuously improving performance, usability, and measurable impact. • Contribute to org-wide AI maturity by documenting architectural patterns, sharing best practices, and establishing repeatable approaches that elevate internal AI capabilities across Webflow.